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Basic radar analysis / Budge, Mervin C.; German, Shawn R.

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Format:
Book
Author/Creator:
Budge, Mervin C., Jr., author.
German, Shawn R., author.
Series:
Artech House radar library.
Artech House radar series
Language:
English
Subjects (All):
Radar.
Physical Description:
1 online resource (xix, 812 pages).
Edition:
Second edition.
Distribution:
[Piscataqay, New Jersey] : IEEE Xplore, [2020]
Place of Publication:
Norwood, Massachusetts : Artech House, [2020]
Summary:
This highly-anticipated second edition of an Artech House classic covers several key radar analysis areas: the radar range equation, detection theory, ambiguity functions, waveforms, antennas, active arrays, receivers and signal processors, CFAR and chaff analysis. Readers will be able to predict the detection performance of a radar system using the radar range equation, its various parameters, matched filter theory, and Swerling target models. The performance of various signal processors, single pulse, pulsed Doppler, LFM, NLFM, and BPSK, are discussed, taking into account factors including MTI processing, integration gain, weighting loss and straddling loss.The details of radar analysis are covered from a mathematical perspective, with in-depth breakdowns of radar performance in the presence of clutter. Readers will be able to determine the nose temperature of a multi-channel receiver as it is used in active arrays. With the addition of three new chapters on moving target detectors, inverse synthetic aperture radar (ISAR) and constant false alarm rate (CFAR) and new MATLAB codes, this expanded second edition will appeal to the novice as well as the experienced practitioner.
Contents:
Intro
Basic Radar Analysis, Second Edition
Contents
Chapter 1 Radar Basics
1.1 Introduction
1.2 Radar Types
1.3 Range Measurement
1.4 Ambiguous Range
1.5 Processing window and Instrumented Range
1.6 Range-Rate Measurement: Doppler
1.7 Decibels
1.8 dB Arithmetic
1.9 Complex Signal Notation
1.10 Radar Block Diagram
1.11 Exercises
References
Chapter 2 Radar Range Equation
2.1 Introduction
2.2 Basic Radar Range Equation
2.2.1 Derivation of ES
2.2.1.1 The Transmitter
2.2.1.2 The Antenna
2.2.1.3 Effective Isotropic Radiated Power
2.2.1.4 Antenna Directivity
2.2.1.5 The Target and Radar Cross Section
2.2.1.6 Antenna Again
2.2.1.7 Antenna Directivity Again
2.2.1.8 Losses
2.2.2 Derivation of EN
2.3 A Power Approach to SNR
2.4 Radar Range Equation Example
2.5 Detection Range
2.6 Search Radar Range Equation
2.7 Search Radar Range Equation Example
2.8 Radar Range Equation Summary
2.9 Exercises
Appendix 2A: Derivation of Search Solid Angle Equation
Chapter 3 Radar Cross Section
3.1 Introduction
3.2 RCS of Simple Shapes
3.3 Swerling RCS Models
3.3.1 Swerling Statistics
3.3.2 Swerling Fluctuation Models
3.3.3 Math Behind the Fluctuation Model
3.4 Relation of Swerling Models to Actual Targets
3.5 Simulating Swerling Targets
3.6 Frequency Agility and SW2 or SW4 Targets
3.7 Exercises
Chapter 4 Noise
4.1 Introduction
4.2 Noise in Resistive Networks
4.2.1 Thevenin Equivalent Circuit of a Noisy Resistor
4.2.2 Multiple Noisy Resistors
4.3 Equivalent/Effective Noise Temperature for Active Devices
4.4 Noise Figure
4.4.1 Derivation of Noise Figure
4.4.2 Attenuators
4.5 Noise Figure of Cascaded Devices
4.6 An Interesting Example.
4.7 Output Noise Energy When the Source Temperature Is Not T0
4.8 A Note About Cascaded Devices and the Radar Range Equation
4.9 Cascaded Attenuators
4.10 Exercises
Chapter 5 Radar Losses
5.1 Introduction
5.2 Transmit Losses
5.3 Antenna Losses
5.4 Propagation Losses
5.5 Receive Antenna and RF Losses
5.6 Processor and Detection Losses
5.7 Exercises
Appendix 5A: Waveguide Attenuation
5A.1 Exercises
Appendix 5B: Atmospheric and Rain Attenuation
5B.1 Function tropatten.m
5B.1.1 Compute International Civil Aviation Organization (ICAO) Standard Atmosphere 1964
5B.1.2 Absorption Coefficient for Oxygen
5B.1.3 Absorption Coefficient for Water Vapor
5B.2 Function troprefract.m
5B.3 Function troploss.m
5B.4 Function rainAttn2way.m
Chapter 6 Detection Theory
6.1 Introduction
6.2 Noise in Receivers
6.2.1 IF Configuration
6.2.2 Baseband Configuration
6.3 Signal in Receivers
6.3.1 Introduction and Background
6.3.2 Signal Model for SW0/SW5 Targets
6.3.3 Signal Model for SW1/SW2 Targets
6.3.4 Signal Model for SW3/SW4 Targets
6.4 Signal-Plus-Noise in Receivers
6.4.1 General Formulation
6.4.2 Signal-Plus-Noise Model for SW1/SW2 Targets
6.4.3 Signal-Plus-Noise Model for SW0/SW5 Targets
6.4.4 Signal-Plus-Noise Model for SW3/SW4 Targets
6.5 Detection Probability
6.5.1 Introduction
6.5.2 Amplitude Detector Types
6.5.3 Detection Logic
6.5.4 Calculation of Pd and Pfa
6.5.4.1 False Alarm Probability
6.5.4.2 Detection Probability
SW0/SW5 Target
SW1/SW2 Target
SW3/SW4 Target
6.5.5 Behavior versus Target Type
6.6 Determination of False Alarm Probability
6.6.1 Pfa Computation Example
6.6.2 Detection Contour Example
6.7 Summary
6.8 Exercises
Chapter 7 CFAR Processing.
7.1 Introduction
7.2 Cell-Averaging CFAR
7.2.1 Estimation of Interference Power
7.2.2 CA-CFAR Analysis
7.2.3 CA-CFAR Example
7.2.4 CA-CFAR FIR Implementation
7.2.5 CFAR Processing at the Edges of Instrumentation
7.3 CA-CFAR with Greatest-of Selection
7.3.1 GO-CFAR Example
7.4 CA-CFAR with Smallest of Selection
7.4.1 SO-CFAR Example
7.5 Ordered Statistic CFAR
7.5.1 OS-CFAR Example
7.6 Minimum Selected CA-CFAR
7.6.1 MSCA-CFAR Algorithm
7.6.2 MSCA-CFAR Analysis
7.6.3 MSCA-CFAR Example
7.7 Summary
7.7.1 CFAR Problems and Remedies
7.7.2 CFAR Scale Factors
7.8 Exercises
Appendix 7A: Maximum Likelihood Estimation
Appendix 7B: Toeplitz Matrix and CFAR
Chapter 8 Matched Filter
8.1 Introduction
8.2 Problem Definition
8.3 Problem Solution
8.4 Matched Filter Examples
8.4.1 General Formulation
8.4.2 Response for an Unmodulated Pulse
8.4.3 Response for an LFM Pulse
8.5 Summary
8.6 Closing Comments
8.7 Exercises
Chapter 9 Detection Probability Improvement Techniques
9.1 Introduction
9.2 Coherent Integration
9.2.1 SNR Analysis
9.2.2 Detection Analysis
9.3 Noncoherent Integration
9.3.1 Coherent and Noncoherent Integration Comparison
9.3.2 Detection Example with Coherent and Noncoherent Integration
9.4 Cumulative Detection Probability
9.4.1 Cumulative Detection Probability Example
9.5 m-of-n Detection
9.5.1 m-of-n Detection Example for SW0/SW5, SW2 and SW4 Targets
9.5.2 m-of-n and Noncoherent Comparison for SW1 and SW2 Targets
9.6 Exercises
Appendix 9A: Noise Autocorrelation at the Output of a Matched Filter
Appendix 9B: Probability of Detecting SW1 and SW3 Targets on m Closely Spaced Pulses
9B.1 Marcum Q Function
Appendix 9C: Cumulative Detection Probability.
Chapter 10 Ambiguity Function
10.1 Introduction
10.2 Ambiguity Function Development
10.3 Example 1: Unmodulated Pulse
10.4 Example 2: LFM Pulse
10.5 Numerical Techniques
10.6 Ambiguity Function Generation Using the FFT
10.7 Exercises
Chapter 11 Waveform Coding
11.1 Introduction
11.2 FM Waveforms
11.2.1 LFM with Amplitude Weighting
11.2.2 Nonlinear FM
11.2.2.1 Fowle Example with Uniform Um(f )
11.2.2.2 Fowle Example with Cosine on a Pedestal Um(f )
11.2.2.3 NLFM Design Procedures
11.3 Phase-coded Pulses
11.3.1 Frank Polyphase Coding
11.3.2 Barker-coded Waveforms
11.3.3 PRN-coded Pulses
11.3.3.1 Mismatched PRN Processing
11.4 Step Frequency Waveforms
11.4.1 Doppler Effects
11.5 Costas Waveforms
11.5.1 Costas Waveform Example
11.6 Closing Comments
11.7 Exercises
Appendix 11A: LFM and the sinc2(x) Function
Chapter 12 Stretch Processing
12.1 Introduction
12.2 Stretch Processor Configuration
12.3 Stretch Processor Operation
12.4 Stretch Processor SNR
12.4.1 Matched Filter
12.4.2 Stretch Processor
12.5 Practical Implementation Issues
12.5.1 Stretch Processor Example
12.6 Range-rate Effects
12.6.1 Expanded Transmit and Receive Signal Models
12.6.2 Stretch Processor Modification
12.6.3 Slope Mismatch Effects
12.6.3.1 Slope Mismatch Case 1: (hṘ = ( - no compensation
Slope Mismatch Example 1
Slope Mismatch Example 2
12.6.3.2 Slope Mismatch Case 2: (hṘ = (r - Perfect Compensation
12.6.3.3 Slope Mismatch Case 3: (hṘ = ( (1(2Ṙh/c)2 - Partial Compensation
12.6.4 Range-rate Effects on Range Bias
12.6.4.1 Case 1 - (hṘ = (
12.6.4.2 Case 2: Imperfect Estimate of Ṙ
12.6.5 Doppler Frequency Measurement Effects
12.6.6 A Matched Filter Perspective
12.7 Exercises
References.
Chapter 13 Phased Array Antenna Basics
13.1 Introduction
13.2 Two-Element Array Antenna
13.2.1 Transmit Perspective
13.2.2 Receive Perspective
13.3 N-Element Linear Array
13.4 Directive Gain Pattern (Antenna Pattern)
13.5 Beamwidth, Sidelobes, and Amplitude Weighting
13.6 Steering
13.6.1 Time-delay Steering
13.6.2 Phase Steering
13.6.3 Phase Shifters
13.7 Element Pattern
13.8 Array Factor Relation to the Discrete-time Fourier Transform
13.9 Planar Arrays
13.9.1 Weights for Beam Steering
13.9.2 Array Shapes and Element Locations (Element Packing)
13.9.3 Feeds
13.9.4 Amplitude Weighting
13.9.5 Computing Antenna Patterns for Planar Arrays
13.9.5.1 Planar Arrays with Rectangular Packing
13.9.5.2 Planar Arrays with Triangular Packing
13.9.6 Directive Gain Pattern
13.9.7 Grating Lobes
13.9.7.1 Grating Lobes in Arrays with Rectangular Packing
13.9.7.2 Grating Lobes in Arrays with Triangular Packing
13.10 Polarization
13.11 Reflector Antennas
13.12 Other Antenna Parameters
13.13 Exercises
Appendix 13A: An Equation for Taylor Weights
Appendix 13B: Computation of Antenna Patterns
13B.1 Linear Arrays
13B.2 Planar Arrays
13B.2.1 Rectangular Packing
13B.2.2 Triangular Packing
Chapter 14 AESA Basics and Related Topics
14.1 Introduction
14.2 T/R Module
14.3 Time-delay Steering and Wideband Waveforms
14.3.1 Subarray Size, Scan Angle, and Waveform Bandwidth
14.3.2 Subarray Pattern Distortion Examples
14.3.3 Array Beam Forming with TDUs
14.4 Simultaneous Multiple Beams
14.4.1 Overlapped Subarrays
14.4.2 Nonuniform Subarray Sizes
14.4.3 Transmit Array Considerations
14.5 AESA Noise Figure
14.5.1 T/R Module Noise Figure
14.5.2 Subarray Gain and Noise Figure
14.5.3 Array Gain and Noise Figure.
14.5.4 AESA Noise Figure Example.
Notes:
Includes index.
Includes bibliographical references and index
Description based on print version record.
ISBN:
9781630815578
1630815578

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